Evidence map›Paper›PMID 37502812›Full record

ArticleFrontiers in psychiatry2023

Construction of a Nomogram predictive model for post-discharge psychosomatic review of psychiatric liaison consultation patients based on medical record data.

Liu Yanwen, Li Mei, Zhang Wenwen, Jing Huihui, Lu Hongbin, Wang Ying, Liu Ning, Han Le, Han Xueyang, Zou Xue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Liu Yanwen *Department of Adolescent Mental Health, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Li Mei *Department of Psychosomatic Medicine, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Zhang WenwenDepartment of Psychosomatic Medicine, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Jing HuihuiDepartment of Psychosomatic Medicine, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Lu HongbinDepartment of Psychosomatic Medicine, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Wang YingDepartment of Psychosomatic Medicine, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Liu NingDepartment of Adolescent Mental Health, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Han LeDepartment of Adolescent Mental Health, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Han XueyangDepartment of Adolescent Mental Health, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Zou XueDepartment of Adolescent Mental Health, Mental Hospital, Xi'an International Medical Center, Hospital of Northwest University, Xi'an, China.
Northwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have shown that almost all physical illnesses coexist with psychiatric disorders or psychological problems, and the severity of mental illness is positively correlated with the duration and severity of physical illness. Liaison consultations are valuable in identifying and treating psychiatric disorders, but the rate of psychiatric follow-up after consultation is low in outpatients. This study aimed to investigate the factors influencing post-discharge psychosomatic follow-up visits in patients undergoing psychiatric liaison consultation in general hospitals and construct a Nomogram prediction model for patients' post-discharge psychosomatic follow-up visits. Medical record data of inpatients who received psychiatric liaison consultations at Xi'an International Medical Center Hospital in China from September 2019 to September 2020 were analyzed. Lasso regression and multivariate logistic regression analyses were conducted to screen independent influences on the occurrence of post-discharge psychosomatic follow-ups in patients undergoing psychiatric liaison consultations. Risk prediction column line graphs were constructed using R software, and the models were evaluated. Of the 494 inpatients who received psychiatric liaison consultations, 115 patients (23.279%) (mean age = 54.8 years) went for post-discharge psychosomatic follow-up, while 379 patients (mean age = 59.3 years) had no record of psychosomatic follow-up. Furthermore, occupation, interval.time, diagnosis, out.antipsychotics, and recommendations.followup were independent factors influencing post-discharge psychosomatic follow-up. The model accurately predicted post-discharge psychosomatic follow-up behavior of inpatients who received psychiatric liaison consultations. Lastly, the clinical decision curve analysis showed that the model had good validity for clinical application. Patients who received a psychiatric liaison consultation with a ≤ 10-day interval between admission to the hospital and application for consultation, were discharged with prescribed medication, and had a clear written medical order for a follow-up consultation had an increased probability of psychosomatic follow-up after discharge.

Indexed as

consultation-liaison psychiatryfollow-upmental healthNomogram predictive modelpsychiatric disorders

Identifiers

PMID37502812
PMCPMC10368869
OpenAlexW4384028900

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.